Senior Observability Platform Engineer for AI/GPU Infra

Nscale; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Nscale is seeking a Staff Observability Platform Engineer to build and evolve our observability stack, giving deep visibility into GPU clusters, AI workloads, and infrastructure. You will treat observability as a product, define scalable solutions, mentor engineers, and collaborate with SRE, infra, platform, and AI/ML teams to improve reliability and developer experience.

This role emphasizes hands-on engineering, architectural input, and guiding platform improvements while balancing innovation

Qualifications

• 6+ years of experience in SRE, platform or observability engineering.

Responsibilities

• Design and evolve observability platforms across metrics, logs, traces, and telemetry.
• Lead scalable observability solutions for Nscale’s GPU and AI infrastructure.
• Collaborate with SRE, infrastructure, platform, and AI/ML teams to embed observability throughout the lifecycle.
• Drive improvements in monitoring coverage, alert quality, service health visibility, and incident response.
• Develop standards, frameworks, and reusable patterns for observability adoption across teams.
• Identify reliability risks and operational blind spots, helping teams address them before they impact customers.
• Contribute to architectural decisions around telemetry collection, storage, retention, and performance.
• Lead initiatives that improve platform scalability, reliability, and efficiency.
• Mentor engineers and provide guidance through reviews and knowledge sharing.
• Participate in incident investigations and postmortems to translate learnings into durable improvements.
• Evaluate new observability technologies balancing innovation with maintainability.

Skills

Observability

Go

Python

Kubernetes

Terraform

Cloud native

Leadership

Communication

Tools

Prometheus

Grafana

OpenTelemetry

ClickHouse

Elastic

Loki

Tempo

Thanos

VictoriaMetrics

Job description

Nscale is seeking a Staff Observability Platform Engineer to build and evolve our observability stack, giving deep visibility into GPU clusters, AI workloads, and infrastructure. You will treat observability as a product, define scalable solutions, mentor engineers, and collaborate with SRE, infra, platform, and AI/ML teams to improve reliability and developer experience.

This role emphasizes hands-on engineering, architectural input, and guiding platform improvements while balancing innovation